How to build a Q&A Reader Model in Python (Open-domain QA)

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Open-domain question-answering (ODQA) is a wildly popular pipeline of databases and language models that allow us to ask a machine human-like questions and return comprehensible and even intelligent answers.

Despite the outward guise of simplicity, ODQA requires a reasonably advanced set of components placed together to enable the extractive Q&A functionality.

We call this extractive Q&A because the models are not generating an answer. Instead, the answer already exists but is hidden somewhere within potentially thousands, millions, or even more data sources.

By enabling extractive Q&A, we enable a more intelligent and efficient way to retrieve information from what can be massive stores of data.

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00:00 Intro 00:13 ODQA Components 03:09 Data Preprocessing 22:35 Fine-tuning ... https://www.youtube.com/watch?v=-fzCSPsfMic